Job openings

Quantitative Trader / Researcher
(Algo Trading | AI Strategies | Financial Markets)

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Company:
4exGroup is an international IT company specializing in high-precision algorithmic trading systems, AI-powered trading advisors, and analytical tools for financial markets. We develop automation solutions for Forex, cryptocurrencies, and investing, combining trader expertise, advanced analytics, and artificial intelligence. Our products — including the Monarch AI trading advisor — are tested on real markets, with a strong focus on risk management, transparency, and stable performance. Over 1,000 satisfied clients worldwide and 6 years in the FinTech and algorithmic trading industry.

 

Location: Remote or Hybrid (as preferred)
Employment Type: Full-time / Contract / Part-time possible
Level: Middle / Senior​

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Responsibilities:

• Research, develop, and optimize new algorithmic trading strategies using quantitative methods and machine learning;

• Analyze large volumes of financial data (market data, order books, historical ticks) to identify patterns, anomalies, and profitable opportunities;

• Backtest and forward-test trading strategies with rigorous statistical validation and risk assessment;

• Improve existing trading advisors (including AI-based systems like Monarch AI) through model retraining, parameter optimization, and strategy enhancements;

• Conduct research on market microstructure, volatility modeling, mean reversion, trend following, and other quantitative approaches;

• Collaborate closely with the ML/Python development team, backend developers, and trading operations to implement and deploy strategies into production;

• Prepare detailed analytical reports, performance metrics, and risk reports for internal and client use;

• Participate in A/B testing of strategies and continuous monitoring of live trading performance.

 

Requirements:

• Strong background in quantitative finance, mathematics, statistics, or related fields (Master’s degree or higher is a plus);

• 2+ years of practical experience in algorithmic trading strategy development or quantitative research;

• Proficient in Python for data analysis and strategy development (Pandas, NumPy, SciPy, Statsmodels);

• Solid experience with machine learning for trading (scikit-learn, TensorFlow/Keras, or similar) — a significant advantage;

• Deep understanding of financial markets (Forex, cryptocurrencies, metals — especially XAU/USD), trading concepts, risk management, and performance metrics (Sharpe ratio, drawdown, etc.);

• Experience with backtesting frameworks, optimization techniques, and statistical validation of strategies;

• Ability to work with high-frequency or tick-level data;

• Strong analytical thinking, attention to detail, and result-oriented mindset;

• English level: Upper-Intermediate (B2+) or higher for documentation and team communication.

 

Will be a plus:

• Experience developing or improving live trading robots/advisors (MT4/MT5 or custom platforms);

• Knowledge of advanced ML techniques applied to trading (reinforcement learning, time-series forecasting, anomaly detection);

• Experience with cloud infrastructure, Docker, or MLflow for strategy deployment;

• Previous work in FinTech, prop trading, or hedge fund quantitative roles;

• Publications, competitions (Kaggle), or personal trading track record.

 

What We Offer:

• Work on real, live-traded algorithmic systems with direct impact on product performance and client results;

• Access to real financial market data, powerful infrastructure, and production trading environment;

• Participation in ambitious FinTech projects combining quantitative research, AI, and automated trading;

• Competitive salary: $2,500 – $5,000 (negotiable based on experience and proven results) + performance bonuses tied to strategy performance;

• Flexible schedule and fully remote or hybrid work format;

• Opportunity to influence strategy development and grow within a specialized algo trading team;

• Professional development: conferences, courses, and continuous learning in quantitative finance and AI.